The Correlation Study between Business Models and Corporate Performance from the Perspective of Value Network: A Case Study of Listed Manufacturing Companies in Taizhou

Hui WANG

Abstract


Strengthening cluster development is conducive to the collective improvement of urban manufacturing, but businesses will become more dependent on the value network. In order to explore the differences in performance between different business models under the value network and to investigate the business models suitable for specific enterprises, this article selects relevant data from the GEM-listed manufacturing companies. It includes an index system for classifying business models, the classification, and characteristics of business models. The relationship between the types of business models and performance is interpreted from the perspective of specific indicators of performance measurement, factor analysis, and variable explanation. Finally, the data suggests that processing-oriented enterprises with concentrated customers and low brand awareness are conducive to rapid development. However, focusing on research and development, innovative investment, and increasing the resilience of the industrial chain are beneficial for later growth and transformation.


Keywords


Value network; Business model; Performance; Correlation

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References


Amit, R., & Zott, C. (2001). Value Creation in E-business. Strategic Management Journal, 22(6-7), 493-520.

Bovet, D., & Martha, J. (2000). Value nets: Breaking the supply chain to unlock hidden profits. New York: John Wiley & Sons.

Chen, P. Y. (2021). Comparison and Reverse Indexing Method for Linear Dimensionlessization in Factor Analysis. Operations Research and Management, 30(10), 95-101.

Chesbrough, H., & Rosenbloom, R. S. (2002). The role of the business model in capturing value from innovation: Evidence from Xerox Corporation’s technology spin-off companies. Industrial and Corporate Change, 11(3), 529-555.

Fan, K., & Feng, C. H. (2013). How to Correctly Preprocess Indicator Data in Factor Analysis. Finance and Accounting Monthly, (6), 85-88.

Feng, L. J., Li, K., Wang, X., et al. (2019). Research on the Evolution Mechanism of Business Model Innovation of Latecomer Enterprises from the Perspective of RPV Theory. Modern Management, 39(4), 50-53.

Kotha, S., & Vadlamani, B. L. (1995). Assessing generic strategies: An empirical investigation of two competing typologies in discrete manufacturing industries. Strategic Management Journal, 16(1), 75-83.

Li, H. L. (2019). Business Model Design: A Modular Combinatorial Perspective. Economic Management, 41(12), 158-176.

Luo, Q., Li, D., & Cai, M. (2012). How Does Business Model Innovation Affect the Performance of High-tech Enterprises? - An Improved Study of the Zott Model. Science Research Management, 33(7), 40-47.

Luo, X. W., Xiang, G. P., Ning, P., et al. (2017). How Does Business Model Innovation Affect the Performance of New Start-ups? - The Role of Legitimacy and Policy Guidance. Scientific Research, 35(7), 1073-1084.

Pu, G. Y. (2014). Research on the Mechanism of Action of Value Networks on Innovation Performance. (Doctoral dissertation). Zhejiang University, Hangzhou.

Rappa, M. A. (2004). The utility business model and the future of computing services. IBM Systems Journal, 43(1), 32-42.

Sinthupundaja, J., Kohda, Y., Chiadamrong, N., et al. (2020). Investigating business model innovation for sustainability: Cases from Thailand. International Journal of Innovation and Sustainable Development, 14(3), 313.

Snihur, Y., Zott, C., & Amit, R. (2021). Managing the Value Appropriation Dilemma in Business Model Innovation. Strategy Science, 6(1), 22-38.

Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40-49.

Wu, J. J.,, He, Z. C., & Wu, Y. (2021). Research on the Impact of Comprehensive Business Models of New Energy Vehicles on Enterprise Performance. Finance and Economics Theory and Practice, 42(4), 116-122.

Wu, X. B., Yao, M. M., Wu, Z, H., et al. (2014). Research on Business Model Classification Based on the Perspective of Value Network: A Case Study of Modern Service Industry. Journal of Zhejiang University (Humanities and Social Sciences), 44(2), 64-77.




DOI: http://dx.doi.org/10.3968/13143

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